New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 3037300 Average

144.8

Averages

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76.0 City-Wide
82.9 Brooklyn
144.8 Tract

Census Tract 3037300

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Injury ER Visit Rate Population (2011-2013)
All 144.8 11,100

Sex

Female 121.3 6,594
Male 237.1 4,504

Race/Ethnicity

Asian/Pacific Islander 0.0 16
Black 103.8 8,130
Hispanic 150.9 2,525
White 0.0 156

Age

0-14 years 135.3 2,756
15-24 years 170.7 1,476
25-34 years 195.4 1,438
35-44 years 123.1 1,690
45-54 years 177.9 1,197
55-64 years 199.2 733
65-74 years 62.8 1,131
75+ years 96.9 650
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.